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Academic Data and Datasets

A collection of datasets and data related to academic issues.



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Academic Data and Datasets
by Weiwei Zhang, Jian Sun, and Xiaoou Tang
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This dataset mirrored from http://137.189.35.203/WebUI/CatDatabase/catData.html, which circa May 2017 is a dead link. The original page is available in Wayback: https://web.archive.org/web/20150520175645/http://137.189.35.203/WebUI/CatDatabase/catData.html The CAT dataset includes 10,000 cat images. For each image, we annotate the head of cat with nine points, two for eyes, one for mouth, and six for ears. The detail configuration of the annotation was shown in Figure 6 of the original paper:...
Topics: cats, datasets, computer vision
Academic Data and Datasets
by emmanuel levy; Benjamin Dubreuil
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Supplementary Dataset from the work "Rules of amino acid composition by which disordered regions adjust to high expression". This table contains amino-acid level information of human proteins.
Source: https://figshare.com/articles/dataset/Dataset_2_2_Human_amino-acids_raw_data/8058854/1
Academic Data and Datasets
by Sara Varela; Matheus Lima Ribeiro
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see ecoClimate.org
Source: https://figshare.com/articles/dataset/past_COSMOS/1348270/1
Academic Data and Datasets
data

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openSNP is a community-driven and community-owned project which lives through the contributions of its members. It is not associated with any institution and the only funding source for openSNP is continuous crowdfunding , which pays for the hosting costs. openSNP allows customers of direct-to-customer genetic tests to publish their test results, find others with similar genetic variations, learn more about their results by getting the latest primary literature on their variations, and help...
Academic Data and Datasets
by Stack Exchange, Inc.
data

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This is intended to be an exact copy of the item "stackexchange" (https://archive.org/details/stackexchange) as of 2018-03-14. That item is continuously updated by Stack Exchange (which is great!); this snapshot could be helpful if something goes wrong with that process, or might be helpful for researchers if the upstream schema changes or to check for missing/changed data. See the "upstream" item for details and license/policy details.
These files are the minimal data needed to replicate the findings presented in the paper: Super-Resolution Imaging of Molecular Emission Spectra and Single Molecule Spectral Fluctuations. The effective pixel size is 0.115 microns/pixel and the intensity conversion is 20 pixels/photon. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/HLQLYN&version=1.0
Academic Data and Datasets
by GeoNames Contributors
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This is a complete copy of the GeoNames database dumps fetched on 2017-06-13 from http://www.geonames.org/export/. It does not include any postal code information. See the readme.txt file for more information. " The GeoNames geographical database covers all countries and contains over eleven million placenames that are available for download free of charge."
Academic Data and Datasets
by Aydin Ayanzadeh; Özden Yalçın Özuysal; Devrim Pesen Okvur; Behçet Uğur Töreyin; Devrim Ünay; Sevgi Önal
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Phase contrast Microscopy
Source: https://figshare.com/articles/dataset/Phase_Contrast_Microscopy_of_cells_with_annotation/8965820/1
Academic Data and Datasets
by Contreras, Rommel
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Este dataset contiene los archivos necesarios para replicar el programa de Visualización de Datos elaborado en lenguaje Processing. Pero se proporciona la información necesaria del proyecto global. Que consiste de un sistema de digitalización, almacenamiento y visualización de datos proveniente de un geófono tipo SM-6. Se estudió e implementó el diseño del preamplificador presentado por Havskov & Alguacil (2006), y se agregó un sistema de acondicionamiento y filtrado de los datos...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/1JXSYT&version=1.0
Academic Data and Datasets
by Benjamin Arnold Krekeler Hartz
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Radiation: Interface for Matlab Spectroscopy Calculations (RadISpeC) is a program that use HITRAN/HITEMP data to generate Line-by-Line (LBL) spectra at a wanted spectral resolution and environment. These data can be used with Discrete Transfer Methods (DTM), Ray Tracing (RT) etc. solvers to estimate high precision radiation in heated flow problems. It was created as a part of the article "Experimental and theoretical evaluation of spectral radiative transfer in high-pressure flames"...
Source: https://figshare.com/articles/dataset/RadISpeC_program_code_m_files_and_GUI_for_Matlab_IDE_/6988997/4
Academic Data and Datasets
by Nick Curtis; Kyle Niemeyer
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A data-set of partially stirred reactor states generated by the pypasr (https://github.com/kyleniemeyer/pypasr) code for GRI-Mech 3.0. Used in several works for error validation and performance testing
Source: https://figshare.com/articles/dataset/h2_pasr_data_bin/4007427/1
Contains data and code underlying results presented in Gutknecht, Aaron J.; Wibral, M. (2021): "Significant Subgraph Mining for Neural Network Inference with Multiple Comparisons Correction". CC0 Waiver
Source: https://data.goettingen-research-online.de/dataset.xhtml?persistentId=doi:10.25625/DIVFKP&version=1.0
Simply all the supporting scripts, data and documentation relating to this work. Get in touch if you want to build on this and need clarity.
Source: https://figshare.com/articles/dataset/Raw_data_scripts_and_dissertation_related_to_Hijacking_Internet-connected_Devices_to_Provoke_Harmful_Oscillations_in_an_Electrical_Network_a_Feasibility_Assessment_/7218722/3
Academic Data and Datasets
by Benedikt Geier
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CLSM of the main dataset "MPIMM_054_QE_P_BP_CF" apllying FISH after AP-MALDI-MSI and after widefield fluorescence overviews were made
Source: https://figshare.com/articles/dataset/CLSM_of_FISH_sample/6887315/2
Academic Data and Datasets
by Lizheng Hao
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The column name represents the TCGA ID, and the row name represents the gene symbol.
Source: https://figshare.com/articles/dataset/dat2_zip/13515998/1
Academic Data and Datasets
by Kennelly, Patrick J.; Patterson, Tom; Jenny, Bernhard; Huffman, Daniel P.; Marston, Brooke E.; Bell, Sarah; Tait, Alexander M.
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An elevation model of Great Sand Dunes, Colorado, USA Landform features: active dune field, sand sheet, sabkha Resolution: 3.3 meter, 5,300 x 5,300 height samples File format: GeoTIFF This is one model of a set of elevation models: https://doi.org/10.5281/zenodo.3938020 . Please cite the entire set of models. When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models: Kennelly, P. J.,...
Source: https://zenodo.org/record/3940434
Academic Data and Datasets
by Charles Tapley Hoyt
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This dataset is now maintained on Zenodo. See: https://zenodo.org/record/4020486
Source: https://figshare.com/articles/dataset/Ooh_Na_Na/12149241/1
Academic Data and Datasets
by Kresten Lindorff-Larsen
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Trajectories of ww domainTrajectories dataTrajectories of WW domain
Source: https://figshare.com/articles/dataset/GTT-1-protein-294_dcdWW_domain_trajectories/12163773/2
The data is made for static occlusion analysis, there are 133 subjects involved and each subject consists with 8 sequences where 4 sequences belong to normal walking without occlusion and other 4 sequence made with static occlusion. This is a set of normalized silhouette sequence. That data is created through personal camera and configuration of camera similar to Powershot-SX430-IS.
Source: https://figshare.com/articles/dataset/Silhouette_frames_Selected_big_blob_Extracted_Centered_Alinged_Directed_splitted_Alinged_Directed_rar/12469655/1
Academic Data and Datasets
by Howard Millman
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This is the first part of the low temperature STM data set from February 2004.
Source: https://figshare.com/articles/dataset/LTSTM_data_from_Feb_2004_part_1/1276160/1
Academic Data and Datasets
by Jinxi Huo
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RNA-seq of B16F10 cells. S303, S304, S305 are SH-1, SH-2, SH-3. S306, S307, S308 are CK-1, CK-2, CK-3
Source: https://figshare.com/articles/dataset/RNA-seq_raw_data_of_B16F10_cells_/12792491/1
Academic Data and Datasets
by Daniel Leventhal; Alexandra Bova
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Rat 0197, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
Source: https://figshare.com/articles/dataset/R0197_20171209a_videos/12949304/1
Academic Data and Datasets
by Xiaojie Yu; Xinyu Guo; Huiwang Gao
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This database includes the model result in the manuscript "Detachment of low-salinity water from the Yellow River plume in summer". All the data can be read by the Matlab files, which are also included.
Source: https://figshare.com/articles/dataset/data/12925832/1
Academic Data and Datasets
by Xiaojie Yu
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This database includes the model result in the manuscript "Detachment of low-salinity water from the Yellow River plume in summer". All the data can be read by the Matlab files, which are also included.
Source: https://figshare.com/articles/dataset/data2/12924515/1
Academic Data and Datasets
by Wallace H. Liu; Jie Zheng; Jessica L. Feldman; Mark A. Klein; Vyacheslav I. Kuznetsov; Craig L. Peterson; Patrick Robert Griffin; John Denu
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The protein deacetylase SIRT6 maintains cellular homeostasis through multiple pathways that include the deacetylation of histone H3 and repression of transcription. Prior work suggests that SIRT6 is associated with chromatin and can substantially reduce global levels of H3 acetylation, but how SIRT6 is able to accomplish this feat is unknown. Here, we describe an exquisitely tight interaction between SIRT6 and nucleosome core particles, in which a 2:1 enzyme:nucleosome complex assembles via...
Source: https://figshare.com/articles/dataset/Multivalent_Interactions_Drive_Nucleosome_Binding_and_Efficient_Chromatin_Deacetylation_by_SIRT6/12937103/1
Academic Data and Datasets
by Jie Lyu
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see README.md
Source: https://figshare.com/articles/dataset/Epigenetics_processing_zip/12199029/1
Academic Data and Datasets
by Andrea Serra-Marques; Maud Martin; Eugene A. Katrukha; Ilya Grigoriev; Cathelijn Peeters; Qingyang Liu; Peter Jan Hooikaas; Yao Yao; Veronika Solianova; Ihor Smal; Lotte B. Pedersen; Erik Meijering; Lukas C Kapitein; Anna Akhmanova; Kapitein Lab
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Supplementary code, raw data and figures from "Concerted action of kinesin-1 KIF5B and kinesin-3 KIF13B promotes efficient transport of exocytotic vesicles to microtubule plus ends"
Source: https://figshare.com/articles/dataset/Supplementary_code_raw_data_and_figures_from_Concerted_action_of_kinesin-1_KIF5B_and_kinesin-3_KIF13B_promotes_efficient_transport_of_exocytotic_vesicles_to_microtubule_plus_ends_/13103372/1
Academic Data and Datasets
by Caitlin Kowalsky
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Sequencing file used for data analysis. See README.txt for more information.
Source: https://figshare.com/articles/dataset/SPP_CG_F/1270759/1
Academic Data and Datasets
by Daniel Leventhal; Alexandra Bova
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Rat 0219, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
Source: https://figshare.com/articles/dataset/R0219_20180306a_videos/13175141/1
Academic Data and Datasets
by Sébastien Artigaud
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The EST database was constructed by combining P. maximus sequences from Illumina RNAseq sequenced from mantle tissues (Artigaud et al., 2014), and from hemocyte cells (Pauletto et al., 2014). Overall, the database included a total of 252 888 P. maximus EST.
Source: https://figshare.com/articles/dataset/Pecten_maximus_EST_database/1328466/1
Subject 14 Session Task from Appelgren and Bengtsson, Feedback on Trait or Action Impacts on Caudate and Paracingulum Activity, Plos one 2015
Source: https://figshare.com/articles/dataset/S14_1/1425046/2
Academic Data and Datasets
by Teresa Correia; Nicola Lockwood; Sunil Kumar; Ju Yin; Marie-Christime Ramel; Natalie Andrews; Matilda Katan; Laurence Bugeon; Margaret Dallman; James McGinty; Paul Frankel; Paul French; Simon Arridge
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Transmission data set with 800 projections, part 12 of 16.
Source: https://figshare.com/articles/dataset/FISH_PROJ800_TRANS_part12/1504036/1
Academic Data and Datasets
by Teresa Correia; Nicola Lockwood; Sunil Kumar; Ju Yin; Marie-Christine Ramel; Natalie Andrews; Matilda Katan; Laurence Bugeon; Margaret Dallman; James McGinty; Paul Frankel; Paul French; Simon Arridge
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Transmission data set with 800 projections, part 3 of 16.
Source: https://figshare.com/articles/dataset/FISH_PROJ800_TRANS_part3/1504026/1
Academic Data and Datasets
by David Amici
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Cytoscape session accompanying: Amici, D.R. et al. A network of core and subtype-specific gene expression programs in myositis. Acta Neuropathol (2021). https://doi.org/10.1007/s00401-021-02365-5
Source: https://figshare.com/articles/dataset/myositis_cys/16602497/1
Academic Data and Datasets
by Ole Jensen
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Attention data st for FLUX pipeline
Source: https://figshare.com/articles/dataset/FLUX_attention_data/16621738/1
Academic Data and Datasets
by José Marcelo Soriano Viana; Gabriel Borges Mundim; Hélcio Duarte Pereira; Andréa Carla Bastos Andrade; Fabyano Fonseca e Silva
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Compacted data files (.rar) used in the study " Efficiency of genome-wide association study in random cross populations ". Details on the files content are in the Description of the data files.txt file.
Source: https://figshare.com/articles/dataset/Efficiency_of_genome_wide_association_study_in_open_pollinated_populations/3201838/3
Academic Data and Datasets
by Aria S Hahn
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This sample is part of the GutCyc Collection ( www.gutcyc.org ), a compendium of environmental pathway / genome databases. GutCyc was constructed from 418 human microbiome assemblies using the open-source MetaPathways pipeline, that enables reproducible metagenomic annotation.
Source: https://figshare.com/articles/dataset/SRS049164_scaffolds_zip/3478697/1
Academic Data and Datasets
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Raw data for the experiments in Section 7 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning
Source: https://figshare.com/articles/dataset/Efficient_and_Robust_Automated_Machine_Learning_-_Section_6/3824103/2
Academic Data and Datasets
by Nick Curtis; Kyle Niemeyer
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A data-set of partially stirred reactor states generated by the pypasr (https://github.com/kyleniemeyer/pypasr) code for GRI-Mech 3.0 (http://combustion.berkeley.edu/gri-mech/version30/text30.html). The data is saved in the numpy .npz format, and is organized as follows: The keys of the .npz file are the original filenames, e.g. pasr_out_0.npy, etc. The files correspond to the following inlet conditions: 0, 1, 2: 400, 600, 800 K at 1 atm 3, 4, 5: 400, 600, 800 K at 10 atm 6, 7, 8: 400, 600, 800...
Source: https://figshare.com/articles/dataset/ch4_pasr_data_bin/4007418/2
Academic Data and Datasets
by Daniel Whitt
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see Table 1 in Whitt et al. (2017) , JGR
Source: https://figshare.com/articles/dataset/WTL17_out_CM_01/4959203/1
Academic Data and Datasets
by Isbaner, Sebastian
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Data for Figure 3 All data files are standard TIFF files or text files. The TIFF files can be opened in ImageJ or Fiji. The super-resolved ISM images have been obtained from the raw data with the software provided at https://projects.gwdg.de/projects/csdism-2020. CC0 Waiver
Source: https://data.goettingen-research-online.de/dataset.xhtml?persistentId=doi:10.25625/WTE3OI&version=1.0
Academic Data and Datasets
by Tobin, John
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Ka-band VLA data for Per-emb-1/HH211-MMS CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8Z9AXP&version=2.0
Data sets generated in the study "Social calls of Myotis nattereri during swarming" CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/AHIWQA&version=2.0
In Thailand, India, Libya, and elsewhere, governments arm the populace or call up volunteers in irregular armed groups despite the risks this entails. The widespread presence of these militias, outside the context of state failure, challenges the expectation that governments uniformly consolidate the tools of violence. Drawing on the logic of delegation, we resolve this puzzle by arguing that governments have multiple incentives to form armed groups with a recognized link to the state but...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/N6M2OQ&version=1.1
Academic Data and Datasets
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These videos are used as a recruitment tool for the Ovulation and Menstruation Health Study. A participant who navigates to the study website may watch this video for more information about the purpose of the study. The study team ensured that anyone interested in participating had this information available before determining if they wanted to join. The videos are available in English and in Spanish. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ODETL6&version=1.0
Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating a global grid-scape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/PRFF8V&version=4.0
Academic Data and Datasets
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N/A CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YUYIVB&version=6.0
Academic Data and Datasets
by Stephens, Ian
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uv (visibility) continuum and spectral line data for Per-emb-13. Also know as NGC 1333 IRAS 4B. Field includes IRAS 4B' CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YPGSYV&version=1.1
Academic Data and Datasets
by Peter Vogt; Kurt H. Riitters; Giovanni Caudullo; Bernd Eckhardt
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This document summarizes the design process, definitions, and algorithmic implementation conducted by the Joint Research Centre to support the development and implementation of FAO’s global forest analysis for the thematic topics Accounting and Fragmentation. The analysis scheme and data products were designed to support the indicator Forest Fragmentation in the State of the World's Forests (SOFO) report 2020. The spatial forest coverage is derived from the Copernicus Global Land Cover 2015...
Source: https://figshare.com/articles/dataset/FAO_gez19_zip/11113325/1
Academic Data and Datasets
by Yuan Wang
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URD object
Source: https://figshare.com/articles/dataset/URD_object/11880582/1
Supplementary dataset
Source: https://figshare.com/articles/dataset/Genome-wide_CRISPR_screens_reveal_fitness_genes_in_the_Hippo_pathway_for_oral_squamous_cell_carcinoma/11859249/3
Academic Data and Datasets
by andrea pigorini
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Description is in the README file
Source: https://figshare.com/articles/dataset/Experiment_2_mat/4970819/1
Academic Data and Datasets
by D. Louis Collins; Gabriel Allan Devenyi; Raihaan Patel; Stephanie Tullo; Min Tae M Park; M. Mallar Chakravarty
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Pseudo-MRIs was created by manually assigning an intensity value to each label value of the hisotologically-derived atlas based on the intensity of the matching structure in MRI template for which it is registered to (Colin27 MRI template); done separately for each hemisphere
Source: https://springernature.figshare.com/articles/dataset/Pseudo-MRI_for_Colin27_MRI_template_right_hemisphere_MINC_format_/6067994/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01113. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01113/7883471/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01204. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01204/7885034/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG00154.
Source: https://figshare.com/articles/dataset/gVCF_HG00154/7872560/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03792. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03792/7927244/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19467. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19467/7929692/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19663. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19663/7930124/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02661. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02661/7934975/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02793. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02793/7940702/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA11931. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA11931/7936667/1
Academic Data and Datasets
by Raphael Neukom; Luis A. Barboza; Michael P. Erb; Feng Shi; Julien Emile-geay; Michael N. Evans; Jörg Franke; Darrell S. Kaufman; Lucie Lücke; Kira Rehfeld; Andrew Schurer; Feng Zhu; Stefan Brönnimann; Gregory J. Hakim; Benjamin J. Henley; Fredrik Charpentier Ljungqvist; Nicholas Mckay; Veronika Valler; Lucien von Gunten
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Input data for the reconstructions and required datasets and code to generate the figures in the paper. Proxy data used for the reconstructions: proxy_ama_2.0.0_PAGES-crit-regional+FDR.txt: PAGES2k v2.0.0 proxy records, R-FDR screened subset (See PAGES2k Consortium, 2017, Scientific Data, doi: 10.1038/sdata.2017.88). Data are tab separated, the first column is the "paleoData_TSid" to identify each record in the metadata file. First row is year CE....
Source: https://figshare.com/articles/dataset/input_data_zip/8137715/3
Academic Data and Datasets
by Steven Peterson
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High-density EEG data recorded during tandem standing and tandem walking at 0.22 m/s. Data includes selected neural independent components, along with EMG from 8 lower leg muscles (4 on each leg). Subjects were exposed to 20 degree visual field rotations in virtual reality (SVZ and WVZ events) and brief mediolateral pull perturbations (Stand_Pull and Walk_Pull events). Each subject has approximately 150 of each event type for both physical conditions (walking and standing). Both EEG.data and...
Source: https://figshare.com/articles/dataset/EEG_connectivity_data_Walk_Pull_/8165747/1
Academic Data and Datasets
by Niklas König Ignasiak; Deepak K Ravi; Stefan Orter; Seyyed Hamed Hosseini Nasab; William R Taylor; Navrag Singh
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Gait variability is a sensitive metric for assessing functional deficits in individuals with mobility impairments. To correctly represent the temporal evolution of gait kinematics, nonlinear measures require extended and uninterrupted time series. The full-body gait patterns of twenty healthy subjects were captured during five walking trials (at least 5 minutes) on a treadmill under different weight perturbation conditions with both weight reductions (of 40 and 20% using a harness labelled...
Source: https://figshare.com/articles/dataset/Does_variability_of_footfall_kinematics_correlate_with_dynamic_stability_of_the_centre_of_mass_during_walking_/8153819/3
Academic Data and Datasets
by Denghua Yan; Baisha Weng; Tianling Qin; Hao wang; Xiangnan Li; Yuheng Yang; Kun Wang
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global population and water withdrawal
Source: https://figshare.com/articles/dataset/A_data_set_of_distributed_global_population_and_water_withdrawal_from_1960_to_2017/8063150/4
Academic Data and Datasets
by Abel Gomes
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Gaussian Finder's cavity dataset in CSV. This dataset describes the protein cavities output by a protein cavity detection method called Gaussian Finder. This method is described in the article available at: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1913-4
Source: https://figshare.com/articles/dataset/Gaussian_Finder_s_cavity_dataset_in_CSV/9916745/1
An example of a sub-critical fracture development trigered by an acoustic wave.; An example of a DEM simulation of fracturing of a soft and flexible material under the tensional load.; A DEM simulation of fracturing of a strong and flexible material under the tensional load; The DEM simulation showing how a single “super-fiber” resistance to breaking apart a sample is built.; The perpendicular to tensional load view of temporal evolution (breaking) of inter-particle bonds (black dots) in...
Source: https://rs.figshare.com/articles/dataset/Trigered_sub-critical_fracturing_Fracturing_of_sof_and_flexible_material_Fracturing_of_strong_and_flexible_material_Super-fiber_resistance_to_breaking_DEM_and_Fiber_Bundle_model_similarity_from_Earthquake_physics_beyond_the_linear_fracture_/13627820/1
Academic Data and Datasets
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Assembled transcriptome, and predicted non-redundant proteins it encodes, for the choanoflagellate Choanoeca flexa.
Source: https://figshare.com/articles/dataset/Choanoeca_flexa_nonredundant_predicted_proteins_fasta/8216291/2
Academic Data and Datasets
by Ghosh, Arindam
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Data for Figures 3,4,5 and 6. All data files are standard .mat files . These files can be opened in MATLAB. CC0 Waiver
Source: https://data.goettingen-research-online.de/dataset.xhtml?persistentId=doi:10.25625/NIDERQ&version=1.0
Academic Data and Datasets
by Lin Bian, Sarah-Jane Leslie, Andrei Cimpian
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Data for the paper "Gender stereotypes about intellectual ability emerge early and influence children’s interests". Mirrored from: https://osf.io/yund6/?view_only=9a8505d4e87b456a89f255b43e21234e
Academic Data and Datasets
by Wang, Hongsu
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Download CBDB Standalone Database. The standalone version of the China Biographical Database (CBDB) contains data on over 420,000 men and women in MS ACCESS Format. Documentation is included. Project Website (2019-04-24) © China Biographical Database. Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/2UFYFG&version=1.1
Academic Data and Datasets
by Blackwell, Jody
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Presentation Date: Tuesday, July 24, 2018. Location: PRISE Distinguished Speaker Presentation, Harvard University. Abstract: These are the slides from Dr. Alyssa Goodman's PRISE Distinguished Speaker Presentation "What does "data science" mean to me, and to you?" given on July 24, 2018. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/77QB4R&version=1.1
Academic Data and Datasets
by Yechao Yan; Yangyang Xu; Shuping Yue
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Daily files of human thermal-stress indices for April 1983 over South and East Asia
Source: https://springernature.figshare.com/articles/dataset/HiTiSEA_1983-04/14559546/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2012 Tile 10
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2012_Tile_10/7769879/2